ai-agent

大家在谈论anthropic的时候，提到：对很多应用来说，优化单次LLM调用，在配合检索和上下文示例，通常就够了。 这个观点在实际落地的时候都要做哪些工作，怎么做

Andrew Ng proposes a 3-Layer Loop Engineering framework for AI Agent development, comprising micro-loops (model calls), meso-loops (tool use), and macro-loops (user feedback), offering B2B enterprises a systematic methodology for building reliable, iterable AI systems.

This article delves into the architecture design principles and implementation methods of agent skills systems, providing systematic guidance for B2B enterprises to build scalable and reusable AI agent capabilities.

AutoResearch is an open-source project that achieves fully automated software development through multi-agent cross-review, covering requirement analysis, code generation, testing, and deployment, significantly boosting development efficiency.

This article documents a complete R&D process led by AI agents, from PRD writing and goal setting to post-goal evaluation, demonstrating AI's autonomous decision-making and execution capabilities in engineering practice.